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Rishal Aggarwal

@rishalchich.bsky.social
189 followers 738 following 4 posts

Machine Learning, Statistical Mechanics, Structural Biology. F1 and Football ⚽. PhD Student CMU-Pitt Comp Bio | IIITH | BITS Pilani

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Reposted by Rishal Aggarwal
David Ryan Koes @dkoes.compstruct.org · 05/12/2025
If you like to sample from the Boltzmann distribution and are in San Diego for NeurIPS, be sure to check out Rishal's (@rishalchich.bsky.social) poster (#2110). Great work with Nick Boffi (@nmboffi.bsky.social) and Jacky Chen. neurips.cc/virtual/2025... arxiv.org/abs/2507.00846
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Reposted by Rishal Aggarwal
Emma Flynn @emmaflynn.bsky.social · 27/05/2025
Our new preprint PharmacoForge: Pharmacophore Generation with Diffusion Models is out now! PharmacoForge quickly generates pharmacophores for a given protein pocket that identify key binding features and find useful compounds in a pharmacophore search. Check it out! 🧪 doi.org/10.26434/che...
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Reposted by Rishal Aggarwal
fses91.bsky.social @fses91.bsky.social · 22/05/2025
Happy to introduce 🔥LaM-SLidE🔥! We show how trajectories of spatial dynamical systems can be modeled in latent space by --> leveraging IDENTIFIERS. 📚Paper: arxiv.org/abs/2502.12128 💻Code: github.com/ml-jku/LaM-S... 📝Blog: ml-jku.github.io/LaM-SLidE/ 1/n
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Reposted by Rishal Aggarwal
Olexandr Isayev 🇺🇦 🇺🇸 @olexandr.bsky.social · 29/04/2025
Long & windy road of academic publishing! Few journal rejections and two years (!!!) after preprint, AIMNet2 paper was just published @chemsocrev.rsc.org With 69 citations to it as of now, it's immediately part of 2025 HOT🌶️ Article collection. pubs.rsc.org/en/content/a... #chemsky #compchem
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Reposted by Rishal Aggarwal
Yisong Yue @yisongyue.bsky.social · 28/04/2025
Thanks to everyone for helping make #ICLR2025 successful. 🥳 It was an honor to serve as General Chair. The best part was using @iclr-conf.bsky.social as my personal meme account the past two years (first as Senior Program Chair). I hope that future ICLR organizers continue the tradition. 🤪
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Reposted by Rishal Aggarwal
AITHYRA Research Institute of the Austrian Academy of Sciences @aithyra.bsky.social · 28/04/2025
Please welcome AITHYRA, the Research Institute for Artificial Intelligence of the Austrian Academy of Science on social media. Follow us and connect via Bluesky and LinkedIn 👋
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Reposted by Rishal Aggarwal
Nicola Bordin @nbordin.bsky.social · 28/04/2025
Our latest preprint is out on bioRxiv! A collaboration between the groups of @martinsteinegger.bsky.social , David Jones and Christine Orengo, we clustered AlphaFold Database and ESMatlas, a whopping 821 million proteins! We reveal biome-specific groups & over 11k novel domain combinations.
biorxiv.org
Metagenomic-scale analysis of the predicted protein structure universe
Protein structure prediction breakthroughs, notably AlphaFold2 and ESMfold, have led to an unprecedented influx of computationally derived structures. The AlphaFold Protein Structure Database now prov...
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Reposted by Rishal Aggarwal
Georg Winter @georgwinter.bsky.social · 28/04/2025
Hello, we are AITHYRA! I am very excited to share with you the corporate identity of AITHYRA, the Research Institute for Biomedical AI. Check out the brand design video (sound on!) to learn more. **REMINDER** One week left to apply for Starting PI positions (Life Science and AI/ML). Come join us!
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Reposted by Rishal Aggarwal
Diego del Alamo @delalamo.xyz · 27/04/2025
"De novo prediction of protein structural dynamics" I'll be presenting an overview of the field tomorrow at a workshop. Link to a PDF copy of the presentation: delalamo.xyz/assets/post_...
delalamo.xyz
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Sara Gosline (she/her) @sargoshoe.bsky.social · 28/04/2025
Who is at #AACR25? I’m here representing my group’s work at the intersection of AI and drug resistance in cancer, and want to hear about what you’re doing!(1/4)
Sara with .5 mode selfie (thanks kids) in front of aacr sign
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Rishal Aggarwal @rishalchich.bsky.social · 23/04/2025
@iclr-conf.bsky.social blog posts are now live at iclr-blogposts.github.io/2025/blog! Unfortunately I won't be able to present our blog post at the conference in person 😔, but I am happy to chat about it online if you find it interesting! Poster attached 🙂.
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Rishal Aggarwal @rishalchich.bsky.social · 31/03/2025
New "blogpost" from our lab, that got accepted at ICLR 2025! We compare an old MCMC method known as Sequential Monte Carlo to generative models trained on energy functions (iDEM/iEFM) and show that MCMC does better. Check it out here: rishalaggarwal.github.io/ebmvsmcmc/
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Rishal Aggarwal @rishalchich.bsky.social · 03/01/2025
New paper at the turn of the new year :) Check out our latest paper on using reinforcement learning for pharmacophore elucidation on protein binding sites. It comes with a google colab notebook for use. bmcbiol.biomedcentral.com/articles/10....
bmcbiol.biomedcentral.com
PharmRL: pharmacophore elucidation with deep geometric reinforcement learning - BMC Biology
Background Molecular interactions between proteins and their ligands are important for drug design. A pharmacophore consists of favorable molecular interactions in a protein binding site and can be ut...
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Reposted by Rishal Aggarwal
CPCB @cmupittcompbio.bsky.social · 19/12/2024
Last week several of our students presented their research at NeurIPS 2024 in Vancouver. We are so proud of the excellent work that they've accomplished and shared with the scientific community! 🧪 Check out each of their papers below:
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Reposted by Rishal Aggarwal
Kevin A. Scott, PhD @sculpturatus.bsky.social · 15/12/2024
AlphaFold3 still tends to overfit regions that AF2 multimer predicts to be disordered. Almost all disordered regions become helices in AF3.
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Reposted by Rishal Aggarwal
David Ryan Koes @dkoes.compstruct.org · 15/12/2024
Going into @workshopmlsb.bsky.social , a few thoughts on the PLINDER dataset. This is a monumental and highly appreciated undertaking for extracting protein-ligand interactions from the PDB. First the good...
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Reposted by Rishal Aggarwal
Ian Dunn @ian-dunn.bsky.social · 11/12/2024
I'm presenting a new paper "Exploring Discrete Flow Matching for 3D De Novo Molecule Generation" at @workshopmlsb.bsky.social this week! More info in this thread but reach out if want to chat at NeurIPS about generative models or molecular design. arxiv.org/abs/2411.16644
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Reposted by Rishal Aggarwal
David Ryan Koes @dkoes.compstruct.org · 11/12/2024
More excellent work from the indomitable @ian-dunn.bsky.social Come check it out at @workshopmlsb.bsky.social
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Reposted by Rishal Aggarwal
Frank Noe @franknoe.bsky.social · 11/12/2024
Excited about BioEmu? Opening this position for just a few days over #NeurIPS2024. Looking especially for Bioinformatics + Structural Biology skills, MD/Stat Mech skills and/or #deeplearning architecture design + engineering skills aka.ms/ai4science-r...
aka.ms
Search Jobs | Microsoft Careers
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Reposted by Rishal Aggarwal
David Ryan Koes @dkoes.compstruct.org · 10/12/2024
Our paper describing our winning submission (tied with @olexandr.bsky.social) is out with some extra computational analysis of the predicted binding modes. We didn't do anything fancy (but the hits weren't that great either...). pubs.acs.org/doi/10.1021/...
pubs.acs.org
CACHE Challenge #1: Docking with GNINA Is All You Need
We describe our winning submission to the first Critical Assessment of Computational Hit-Finding Experiments (CACHE) challenge. In this challenge, 23 participants employed a diverse array of structure...
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Reposted by Rishal Aggarwal
Rommie Amaro @rommieamaro.bsky.social · 09/12/2024
do not assess & compare their methods on fair footing & in a meaningful way For good or for bad, in the end, BLINDED COMMUNITY CHALLENGES are the only fair way to assess methods Meaning: the proof is in the pudding. The methods who want to be taken seriously should ...
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David Ryan Koes @dkoes.compstruct.org · 26/11/2024
We're looking forward to presenting this @workshopmlsb.bsky.social . This work was conceived and led by a group CPCB (@cmupittcompbio.bsky.social) students and learns a co-embedding of proteins and ligands to support ultra fast virtual screening. arxiv.org/pdf/2411.15418
Dimensionality reduced embedding space showing that ligand and their targets colocate and genomes self organize.SPRINT Enables Interpretable and Ultra-Fast Virtual
Screening against Thousands of Proteomes
Andrew T. McNutt ∗
University of Pittsburgh
anm329@pitt.edu
Abhinav K. Adduri∗
CMU, Arc Institute
abhinav.adduri@arcinstitute.org
Caleb N. Ellington∗
Carnegie Mellon University
cellingt@cs.cmu.edu
Monica T. Dayao
Carnegie Mellon University
mdayao@cs.cmu.edu
Eric P. Xing
CMU, MBZUAI, Petuum Inc.
epxing@cs.cmu.edu
Hosein Mohimani
Carnegie Mellon University
hoseinm@cs.cmu.edu
David R. Koes
University of Pittsburgh
dkoes@pitt.edu
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